HomebrewML / revlibLinks
Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload
☆127Updated 2 years ago
Alternatives and similar repositories for revlib
Users that are interested in revlib are comparing it to the libraries listed below
Sorting:
- Implementation of fused cosine similarity attention in the same style as Flash Attention☆213Updated 2 years ago
- Unofficial JAX implementations of deep learning research papers☆156Updated 2 years ago
- Named tensors with first-class dimensions for PyTorch☆329Updated last year
- A case study of efficient training of large language models using commodity hardware.☆69Updated 2 years ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆175Updated last week
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆207Updated last year
- Contrastive Language-Image Pretraining☆141Updated 2 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆209Updated last year
- Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch☆252Updated 2 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆110Updated 2 years ago
- JAX Synergistic Memory Inspector☆172Updated 10 months ago
- HomebrewNLP in JAX flavour for maintable TPU-Training☆50Updated last year
- EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax☆128Updated last year
- 🧀 Pytorch code for the Fromage optimiser.☆124Updated 10 months ago
- Another attempt at a long-context / efficient transformer by me☆38Updated 3 years ago
- JMP is a Mixed Precision library for JAX.☆199Updated 4 months ago
- ☆228Updated 3 months ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆105Updated 3 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆78Updated 4 years ago
- Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.☆253Updated 2 months ago
- Implementation of Feedback Transformer in Pytorch☆107Updated 4 years ago
- DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight …☆235Updated 2 years ago
- LoRA for arbitrary JAX models and functions☆135Updated last year
- Differentiable Algorithms and Algorithmic Supervision.☆116Updated last year
- Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)☆187Updated 2 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆180Updated 3 years ago
- Easy Hypernetworks in Pytorch and Jax☆100Updated 2 years ago
- gpu tester detects broken and slow gpus in a cluster☆70Updated 2 years ago
- A simple library for scaling up JAX programs☆137Updated 7 months ago
- [Prototype] Tools for the concurrent manipulation of variably sized Tensors.☆251Updated 2 years ago